Arguably the most significant contribution of the human genome project
> is that we can now manipulate every gene and every regulatory region
> that controls the expression of a gene in the model organisms that have
> been sequenced, e.g. C. elegans (worm), D. melanogaster (fly), and M.
> musculus (mouse). These manipulations include being able to attach
> fluorescent molecules that glow wherever a protein is in the cell or
> whenever it is being made in the cell, and this fluorescence can further
> be modulated via a change in temperature, light, or the introduction of
> a small drug or virus. Combined with tremendous advances in light and
> electron microscopy in recent years, I believe we are now poised to
> directly visualize the meso-scale of the cell, and the development and
> detailed anatomy of small organs (e.g. a fly's brain) and organisms
> (e.g. the worm) at the resolution of individual cells. These advances
> require new imaging and data-mining methods for what I call "imaging
> bioinformatics".
>
> Toward this end, my group is working on a number of imaging projects
> along these lines. These include (a) the biophysics of cell division,
> (b) studies of gene expression in individual cells within the worm C.
> elegans, (c) a detailed reconstruction of a fly's brain including the
> patterning of its development, and (d) the development of a
> high-throughput microscope to image the volume of an entire mouse brain
> at 1 micron resolution (4.2 trillion voxels) in less than a week. The
> lecture will describe more precisely what I mean by "imaging
> bioinformatics" and illustrate why I think it is a compelling future
> paradigm using these projects as examples of what is possible.
>